EDBT 2026 Demo / reviewers in the wild / expert
Curt A. Bererton
dblp:27/2428
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 3 first-authorSystems, architecture and hardware · 2 · 2 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
3 papers |
Multi-agent systems · 70% Reinforcement learning · 24% Robot manipulation · 6% | |
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% |
Topics — the 4 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
multi-robot team |
0.1 | 2 | 2002 | An Analysis of Cooperative Repair Capabilities in a Team of Robots · ICRA 2002 Towards A Team of Robots with Reconfiguration and Repair Capabilities · ICRA 2001 |
Machine learning › Reinforcement learning
markov decision process |
0.0 | 1 | 2003 | Auction Mechanism Design for Multi-Robot Coordination · NIPS 2003 |
Knowledge, reasoning and agents › Multi-agent systems
multi-robot coordination |
0.0 | 1 | 2003 | Auction Mechanism Design for Multi-Robot Coordination · NIPS 2003 |
Algorithmic game theory and mechanism design › mechanism design
auction design |
0.0 | 1 | 2003 | Auction Mechanism Design for Multi-Robot Coordination · NIPS 2003 |
Methods — techniques the papers use, named apart from their topics
market-based coordination · 0.1decentralized planning · 0.1reliability theory · 0.0teleoperation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Auction Mechanism Design for Multi-Robot CoordinationabstractThe design of cooperative multi-robot systems is a highly active research area in robotics. Two lines of research in particular have generated inter- est: the solution of large, weakly coupled MDPs, and the design and im- plementation of market architectures. We propose a new algorithm which joins together these two lines of research. For a class of coupled MDPs, our algorithm automatically designs a market architecture which causes a decentralized multi-robot system to converge to a consistent policy. We can show that this policy is the same as the one which would be produced by a particular centralized planning algorithm. We demonstrate the new algorithm on three simulation examples: multi-robot towing, multi-robot path planning with a limited fuel resource, and coordinating behaviors in a game of paint ball. Curt A. Bererton, Geoffrey J. Gordon, Sebastian Thrun |
NIPS | 1 |
| 2002 | An Analysis of Cooperative Repair Capabilities in a Team of RobotsabstractTo date, very little work has investigated the benefits of repairable robots. Robots that can repair themselves and other robots in their team are intuitively a superior design. Intuition, however, is not an acceptable basis for spending millions of dollars in development. In this work, we quantify the gain in productivity of a team of repairable robots compared to a team without repair capabilities. We create a model using an extension of standard reliability theory. It allows the definition of a metric which is used to compare the two teams. The analysis yields insight into the design of repairable robot teams under a certain set of assumptions. The model also demonstrates scenarios where repair capabilities are not likely to be beneficial. Curt A. Bererton, Pradeep K. Khosla |
ICRA | 1 |
| 2001 | Towards A Team of Robots with Reconfiguration and Repair CapabilitiesabstractIn the future, we propose that there will be largely self-sufficient robot colonies operating on distant planets and in harsh environments here on Earth. A highly desirable quality of such a colony would be the capability of the robots to repair each other. Towards the goal of autonomous repair, we design a robot that can replace the modules composing a similar robot. The final system is teleoperated and module removal/replacement is performed on a test bed. We discuss some of the design trade-offs for such a system and discuss some of the steps required in order to develop a self-sufficient robot colony. Curt A. Bererton, Pradeep K. Khosla |
ICRA | 1 |